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Phi Tiny MoE Instruct vs Phi 3.5 Vision Instruct
Stavite dva do četiri modela jedan pored drugoga na poljima koja odlučuju o implementaciji: kontekst, cijena, regija, licenca, jezici, hosting i što je verificirano.
| Phi Tiny MoE Instruct | Phi 3.5 Vision Instruct | |
|---|---|---|
| Pružatelj | Microsoft | Microsoft |
| Parametri | 3.8B | 4.1B |
| Prozor konteksta | Nije provjereno: pružatelj nije dokumentirao ovu tvrdnju. | Nije provjereno: pružatelj nije dokumentirao ovu tvrdnju. |
| Licenca | mit | mit |
| Modaliteti | text | text, vision |
| Datum izdanja | 23. lip 2025. | 16. kol 2024. |
| Jezici | Jako: en Zadovoljavajuće: — | Jako: — Zadovoljavajuće: nlp |
| Otvoreni utezi | da | da |
| Zadaci | Zaključivanje, Niska cijena | Vizija, Sažimanje |
Kada se dva modela razlikuju, ova tablica pokazuje razliku i tu staje. LLM EU ne objavljuje značku pobjednika bez dokumentiranog rezultata za taj zadatak, a brojka koja nedostaje ostaje nedostajuća umjesto da postane nula.
Kada ga koristiti
Phi Tiny MoE Instruct
Prednosti
- open weights are published on Hugging Face and can be downloaded without a vendor agreement
- mit licence, so commercial self-hosting is permitted without a separate agreement
- at 3.8B parameters it fits on a single accelerator
- the model page lists en
- instruction-tuned checkpoint with a chat template in the repository
Ograničenja
- catalogue only — LLM EU does not run this model, and nothing on this card implies an LLM EU endpoint
- no evaluation has been run by LLM EU
- the published configuration records no context window, so the card carries none
- at 3.8B parameters, the weights fit on a single modest accelerator
Zadaci
Phi 3.5 Vision Instruct
Prednosti
- open weights are published on Hugging Face and can be downloaded without a vendor agreement
- mit licence, so commercial self-hosting is permitted without a separate agreement
- at 4.1B parameters it fits on a single accelerator
- instruction-tuned checkpoint with a chat template in the repository
Ograničenja
- catalogue only — LLM EU does not run this model, and nothing on this card implies an LLM EU endpoint
- no evaluation has been run by LLM EU
- the published configuration records no context window, so the card carries none
- at 4.1B parameters, the weights fit on a single modest accelerator
- vision checkpoints are heavier to serve than their parameter count alone suggests, because the image encoder and pre-processing run alongside the language model
Zadaci
Zadaci: Nije provjereno: pružatelj nije dokumentirao ovu tvrdnju.